Evidence map›Paper›PMID 26876427›Full record

ArticleDiabetes, obesity & metabolism2016

Prevention of antibiotic-associated metabolic syndrome in mice by intestinal alkaline phosphatase.

K P Economopoulos, N L Ward, C D Phillips, A Teshager, P Patel, M M Mohamed, S Hakimian, S B Cox, R Ahmed, O Moaven and 7 more

Open access · greenAbstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 37 citations in OpenAlex.

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  7. Frontiers in immunology · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 1 country.

K P EconomopoulosDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
N L WardDepartments of Molecular Biology and Botany, University of Wyoming, Laramie, WY, USA.
C D PhillipsResearch and Testing Laboratory, Lubbock, TX, USA.
A TeshagerDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
P PatelDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
M M MohamedDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
S HakimianDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
S B CoxResearch and Testing Laboratory, Lubbock, TX, USA.
R AhmedDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
O MoavenDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
K KaliannanDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
S N AlamDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
J F HallerLipid Metabolism Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
A M GoldsteinDepartment of Pediatric Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
A K BhanDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
M S MaloDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
R A HodinDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Harvard University · USMassachusetts General Hospital · USArkansas Agricultural Experiment Station · USLubbock Christian University · USUniversity of Wyoming · US

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
NIDDK NIH HHS P30 DK043351
6 · The paper itself

Abstract

aimsTo examine whether co-administration of intestinal alkaline phosphatase (IAP) with antibiotics early in life may have a preventive role against metabolic syndrome (MetS) in mice.

methodsA total of 50 mice were allocated to four treatment groups after weaning. Mice were treated with azithromycin (AZT) ± IAP, or with no AZT ± IAP, for three intermittent 7-day cycles. After the last treatment course, the mice were administered a regular chow diet for 5 weeks and subsequently a high-fat diet for 5 weeks. Body weight, food intake, water intake, serum lipids, glucose levels and liver lipids were compared. 16S rRNA gene pyrosequencing was used to determine the differences in microbiome composition.

resultsExposure to AZT early in life rendered mice susceptible to MetS in adulthood. Co-administration of IAP with AZT completely prevented this susceptibility by decreasing total body weight, serum lipids, glucose levels and liver lipids to the levels of control mice. These effects of IAP probably occur as a result of changes in the composition of specific bacterial taxa at the genus and species levels (e.g. members of Anaeroplasma and Parabacteroides).

conclusionsCo-administration of IAP with AZT early in life prevents mice from susceptibility to the later development of MetS. This effect is associated with alterations in the composition of the gut microbiota. IAP may represent a novel treatment against MetS in humans.

Indexed as

Dietary SupplementsAcholeplasmaAlkaline PhosphataseAnimalsAnti-Bacterial AgentsAzithromycinBacteroidesCattleDiet, High-FatDysbiosisFecesGastrointestinal MicrobiomeIntestinal MucosaMaleMetabolic SyndromeMice, Inbred C57BLAlkaline PhosphataseAnti-Bacterial AgentsAzithromycinazithromycinintestinal alkaline phosphatasemetabolic syndromemice

Identifiers

PMID26876427
PMCPMC5110215
OpenAlexW2275393054

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.